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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified Developer – Associate (DVA-C02) |
| Exam Number: | DVA-C02 |
| Real Exam Qty: | 65 |
| Exam Format: | Multiple choice, Multiple response |
| Passing Score: | 720 (scaled score) |
| Certificate Validity Period: | 3 years |
| Available Languages: | Traditional Chinese, Japanese, Portuguese (Brazil), Spanish (Latin America), Korean, German, French, English, Simplified Chinese |
| Related Certifications: | AWS Certified Solutions Architect – Associate AWS Certified DevOps Engineer – Professional AWS Certified Cloud Practitioner |
| Exam Duration: | 130 minutes |
| Exam Price: | USD 150 |
| Recommended Training: | AWS Skill Builder – Developer Learning Plan AWS Certified Developer – Associate Exam Guide |
| Exam Registration: | Pearson VUE AWS Exams AWS Certification Official Registration |
| Sample Questions: | Amazon DVA-C02 Sample Questions |
| Exam Way: | Online proctored exam via Pearson VUE or in-person at authorized testing centers |
| Pre Condition: | No mandatory prerequisites. Recommended: 1+ year of hands-on experience developing and maintaining AWS-based applications. |
| Official Syllabus URL: | https://aws.amazon.com/certification/certified-developer-associate/ |
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The DVA-C02 Exam covers a wide range of topics, including AWS core services, database technologies, application deployment, and security. DVA-C02 exam consists of 65 multiple-choice and multiple-response questions, and candidates have 130 minutes to complete it. To pass the exam, candidates must score 720 or higher out of a possible 1,000 points. Upon passing the exam, candidates receive an AWS Certified Developer – Associate certification, which is valid for three years. AWS Certified Developer - Associate certification demonstrates to employers and clients that the individual has the skills and knowledge necessary to develop and deploy applications on the AWS platform.
NEW QUESTION # 214
A company has an online order website that uses Amazon DynamoDB to store item inventory. A sample of the inventory object is as follows:
* Id: 456
* Price: 650
* Product.Category: "Sporting Goods"
A developer needs to reduce all inventory prices by 100 as long as the resulting price would not be less than
500.
What should the developer do to make this change with the LEAST number of calls to DynamoDB?
Answer: A
Explanation:
The goal is to reduce a given item's price by 100 only when the resulting value would not fall below 500.
That means the update should occur only when the current Price is at least 600 (because Price - 100 >= 500 # Price >= 600). The requirement also says to do this with the least number of calls to DynamoDB. The most efficient approach is to use a single UpdateItem call with a ConditionExpression so DynamoDB enforces the rule atomically.
Option B does exactly that: issue one UpdateItem request that updates Price = Price - :delta (using an update expression) while including a condition like Price >= :minPriceBeforeReduction (where :
minPriceBeforeReduction is 600). If the condition is true, DynamoDB performs the update; if it's false, DynamoDB rejects the write with ConditionalCheckFailedException. This avoids a separate read/query call and prevents race conditions where the price could change between a read and a subsequent write.
Option A requires two calls (Query then UpdateItem) and is vulnerable to time-of-check/time-of-use issues unless additional conditional logic is added to the update anyway. Option C adds an extra condition on category, but the requirement is "reduce all inventory prices" subject to the minimum resulting price; filtering by category is unnecessary and can cause eligible items in other categories to be skipped. Option D expresses the rule in a mathematical form; while conceptually correct, DynamoDB condition expressions do not generally support arbitrary arithmetic in the condition the same way as a simple comparison, so the standard implementation is to compare against 600 directly.
Therefore, B is the correct choice: one UpdateItem call with a condition expression Price >= 600 minimizes DynamoDB calls and enforces the pricing rule safely and atomically.
NEW QUESTION # 215
A developer is building a serverless application by using AWS Serverless Application Model (AWS SAM) on multiple AWS Lambda functions. When the application is deployed, the developer wants to shift 10% of the traffic to the new deployment of the application for the first 10 minutes after deployment. If there are no issues, all traffic must switch over to the new version.
Which change to the AWS SAM template will meet these requirements?
Answer: C
Explanation:
The Deployment Preference Type property specifies how traffic should be shifted between versions of a Lambda function1. The Canary10Percent10Minutes option means that 10% of the traffic is immediately shifted to the new version, and after 10 minutes, the remaining 90% of the traffic is shifted1. This matches the requirement of shifting 10% of the traffic for the first 10 minutes, and then switching all traffic to the new version.
The AutoPublishAlias property enables AWS SAM to automatically create and update a Lambda alias that points to the latest version of the function1. This is required to use the Deployment Preference Type property1. The alias name can be specified by the developer, and it can be used to invoke the function with the latest code.
NEW QUESTION # 216
An application is processing clickstream data using Amazon Kinesis. The clickstream data feed into Kinesis experiences periodic spikes. The PutRecords API call occasionally fails and the logs show that the failed call returns the response shown below:
Which techniques will help mitigate this exception? (Choose two.)
Answer: D,E
NEW QUESTION # 217
A developer maintains a legacy ecommerce application that sends logs to an Amazon CloudWatch Logs log group. During an audit, the developer discovers that the application sends credit card numbers and credit card verification codes to the log group.
The developer needs a solution to give support staff the ability to view the logs. However, the support staff must not be able to view the sensitive credit card information. Application administrators must be able to view the logs and must have access to the sensitive credit card data. The developer cannot modify the application code.
Which solution will meet these requirements?
Answer: D
Explanation:
Because the developer cannot change the legacy application code, the solution must apply controls at the logging layer. CloudWatch Logs provides data protection policies that can automatically detect sensitive data using managed data identifiers (including credit card data) and apply masking (de-identification) as log events are ingested. This ensures that sensitive values such as card numbers and verification codes are not displayed in plaintext to general viewers of the log group.
With option A, enabling a data protection policy on the log group and configuring it to mask the relevant credit card data ensures that when support staff query or view logs, the sensitive fields appear redacted.
CloudWatch Logs also supports controlled access to view the original unmasked values through an explicit permission: users who have the appropriate IAM authorization (such as logs:Unmask) can retrieve or view the sensitive data, while everyone else sees only the masked version. Granting logs:Unmask to application administrators satisfies the requirement that administrators can access the sensitive data, while withholding it from support staff enforces the restriction.
Option B (KMS encryption) provides encryption at rest for the log group but does not prevent authorized readers from seeing sensitive data once decrypted. Support staff who can read logs would still see plaintext card data. Option C is not a standard or operationally efficient pattern for CloudWatch Logs redaction; Macie is primarily for discovering sensitive data in S3 and does not serve as the native masking mechanism for CloudWatch Logs ingestion. Option D is not applicable: AWS WAF inspects HTTP requests/responses at the edge or load balancer/API layer, not application log streams already being emitted to CloudWatch.
Therefore, A is the correct solution: use CloudWatch Logs data protection to mask sensitive data by default and grant logs:Unmask only to administrators.
NEW QUESTION # 218
An application writes transactions to an Amazon DynamoDB table by using the PutItem operation. Each transaction has a unique transactionId. Sometimes duplicate transactions are received. The developer wants to ensure that a duplicate PutItem does not overwrite an existing item. Duplicate transactions are rare.
What is the MOST cost-effective solution?
Answer: D
Explanation:
Amazon DynamoDB supports conditional writes, which allow developers to enforce data integrity rules directly at the database layer. AWS documentation states that conditional expressions are the recommended way to prevent accidental overwrites and ensure idempotent writes.
Using a PutItem operation with the condition expression
attribute_not_exists(transactionId) ensures that the write succeeds only if the item does not already exist. If a duplicate transaction is received, DynamoDB rejects the request without modifying the existing record.
This approach is highly cost-effective because it avoids additional read operations. Option A doubles request cost by performing a read before every write. TTL (Option B) is unrelated to overwrite prevention. Option C does the opposite of the requirement by ensuring the attribute exists.
AWS explicitly recommends conditional writes for handling duplicates and enforcing uniqueness with minimal cost and latency.
Therefore, implementing a conditional put with attribute_not_exists(transactionId) is the correct solution.
NEW QUESTION # 219
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